Data Engineer

Data Engineer - Investment Management - Snowflake | DBT | Python Contract: 4-month Initial Contract (Likely Extension) Location: London (Hybrid Working) IR35 Status: Inside IR35 An exciting opportunity has arisen for an experienced Data Engineer to join the technology team of a leading investment management organisation. Working within a highly collaborative Agile environment, you'll play a key role in designing, developing and enhancing modern cloud-based data solutions that support front-office investment teams and critical business functions. This is an excellent opportunity to work on a modern Azure and Snowflake data platform, helping to deliver scalable data pipelines, analytics capabilities and business-critical integrations. The Role You'll work closely with Business Analysts, Developers, Testers and business stakeholders to design and deliver high-quality data engineering solutions. This role combines hands-on engineering with stakeholder engagement and requires someone who enjoys solving complex data challenges within a fast-paced investment management environment. Key Responsibilities • Design, build and maintain scalable data pipelines and ETL/ELT solutions • Develop robust data models and transformations using Snowflake and dbt • Build and optimise data integrations across multiple platforms and applications • Work with Azure Data Factory and Databricks to develop modern cloud data solutions • Develop Python-based automation and data processing solutions • Write high-performance SQL for data extraction, transformation and reporting • Work alongside Business Analysts to translate business requirements into technical solutions • Participate throughout the full software development lifecycle • Perform testing and support business user acceptance • Ensure data quality, governance and best engineering practices are followed • Contribute to continuous improvement of the data platform and engineering standards Experience: We're looking for an experienced Data Engineer with strong cloud data engineering expertise, ideally gained within Financial Services or Asset Management. You should have strong experience with: • Snowflake (essential) • dbt for data transformation (essential) • Python • Azure Data Factory • Azure Databricks • SQL Server • Advanced SQL development • ETL / ELT pipeline development • Cloud-based data engineering • Data modelling • API and data integration • Git and Agile delivery methodologies • Full software development lifecycle Experience within investment management or financial services, including exposure to one or more of the following: • Front Office or Investment platforms • Asset Management • Market or reference data • ESG / Sustainability data • Bloomberg Aladdin or Aladdin Data Cloud (ADC) • Power BI • Web scraping • Enterprise scheduling tools such as JAMS